Evidence map›Paper›PMID 37723532›Full record

ArticleInfectious diseases of poverty2023

National prevalence and risk factors for tungiasis in Kenya.

Lynne Elson, Christopher Kamau, Sammy Koech, Christopher Muthama, George Gachomba, Erastus Sinoti, Elwyn Chondo, Eliud Mburu, Miriam Wakio, Jimmy Lore and 5 more

Open access · goldAbstract read
In one paragraph

Article in Infectious diseases of poverty, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 7 institutions in 2 countries.

Lynne ElsonKenya Medical Research Institute-Wellcome Trust Research Programme, Kilifi, Kenya. lynne.elson@gmail.com.ORCID http://orcid.org/0000-0003-2264-4459
Christopher KamauDepartment of Health, Muranga, Kenya.
Sammy KoechDepartment of Health, Kericho, Kenya.
Christopher MuthamaDepartment of Health, Makueni, Kenya.
George GachombaDepartment of Health, Nakuru, Kenya.
Erastus SinotiDepartment of Health, Samburu, Kenya.
Elwyn ChondoDepartment of Health, Kilifi, Kenya.
Eliud MburuDepartment of Health, Kajiado, Kenya.
Miriam WakioDepartment of Health, Taita Taveta, Kenya.
Jimmy LoreDepartment of Health, Turkana, Kenya.
Marta MaiaKenya Medical Research Institute-Wellcome Trust Research Programme, Kilifi, Kenya.
Ifedayo AdetifaKenya Medical Research Institute-Wellcome Trust Research Programme, Kilifi, Kenya.
Benedict OrindiKenya Medical Research Institute-Wellcome Trust Research Programme, Kilifi, Kenya.
Phillip BejonKenya Medical Research Institute-Wellcome Trust Research Programme, Kilifi, Kenya.
Ulrike FillingerInternational Centre for Insect Physiology and Ecology (Icipe), Nairobi, Kenya.
Kenya Medical Research Institute · KEInternational Centre of Insect Physiology and Ecology · KEMinistry of Health · KEMoving the GoalPosts · KEMurang'a University of Technology · KENakuru County Council · KEUniversity of London · GB

Funding

Wellcome TrustWellcome Trust 213724/Z/18/
6 · The paper itself

Abstract

backgroundTungiasis is a highly neglected tropical skin disease caused by the sand flea, Tunga penetrans, the female of which burrows into the skin, causing pain and itching. The disease occurs throughout South America and sub-Saharan Africa but there are few systematic data on national disease burdens. The tungiasis research community is keen to develop survey methods to fill this gap. Here we used a school-based, thorough examination method to determine the prevalence and risk factors for tungiasis in Kenya.

methodsWe conducted the first nationally representative survey of tungiasis, including nine counties covering the major ecological zones of Kenya. A stratified multistage random sampling was used to select 22 primary schools from each of the nine counties and to select up to 114 pupils aged 8 to 14 years in each school. Pupils were examined thoroughly for tungiasis. Two surveys were conducted, the first between May and July 2021 and the second between October 2021 and April 2023 when pupils were also interviewed for risk factors. Mixed effect logistic regression models were used to test associations of independent variables with tungiasis using the school as a random effect.

resultsThe overall prevalence of tungiasis in the first survey was 1.35% [95% confidence interval (CI): 1.15-1.59%], and 0.89% in the second survey. The prevalence ranged from 0.08% (95% CI: 0.01-0.59%) in Taita Taveta county to 3.24% (95% CI: 2.35-4.44%) in Kajiado county. Tungiasis infection was associated with county of residence, male sex [adjusted odds ratio (aOR) = 2.01, 95% CI: 1.52-2.67], and lower age (aOR = 0.81, 95% CI: 0.75-0.88). For the first time we demonstrate an association with attending public schools rather than private schools (aOR = 5.62, 95% CI: 1.20-26.22) and lower socioeconomic status (aOR = 0.10, 95% CI: 0.03-0.33). Using a rapid screening method of the top of feet only, would have missed 62.9% of all cases, 78.9% of mild cases and 20.0% of severe cases.

conclusionsTungiasis is widely but heterogeneously distributed across Kenya. School-based surveys offer an efficient strategy for mapping tungiasis distribution.

Indexed as

TungiasisFemaleHumansKenyaMalePrevalenceRisk FactorsSurveys and QuestionnairesDisease burdenKenyaNeglected tropical diseasesPrevalenceTungiasis

Identifiers

PMID37723532
PMCPMC10506256
OpenAlexW4386834923

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.